The phrase "a probability range" is correct and usable in written English.
It can be used when discussing the likelihood of various outcomes or events within a specified interval.
Example: "The weather forecast provides a probability range for rain, indicating a 30% to 50% chance of precipitation tomorrow."
Alternatives: "a range of probabilities" or "a likelihood range".
In testing the method on a Duffing-type oscillator with strongly non-linear stiffness and damping, comparison with conventional Monte Carlo simulation is concentrated in a probability range 10−2−10−5but using only about 1% of the local maxima normally required.
The size of a probability range that is linear (1D), radial (2D), or 3D G-band, is quantified in the unit of standard deviation (SD), a commonly used statistical index for positional accuracy.
The study by Dieckmann et al. (in a military intelligence context) indicated a smaller ambiguity effect in decisions that were taken when a narrative forecast was accompanied by a probability range as opposed to the same narrative with simply a point value.
These 13 patients had a probability range of 26 to 91% (mean 59%).
Even if the value of one or two of the prognostic variables is not available, physicians can obtain a probability range corresponding to the patient's risk by referring to both the positive and negative cases from the table.
In a second experiment, the researchers tested whether the lesioned rats preferred certain, small rewards (a single pellet delivered every time the rat pressed the lever) or uncertain, large rewards (two pellets delivered with a probability ranging from 8% to 88%).
In the novel species model uncatalyzed reactions among available molecular species took place with a low probability (the concentration of any molecular species had a probability ranging from 0 to 0.01 to increase over threshold), producing random novel species in low copy number from the shadow.
A recent expert assessment inferred a 95% probability range of 0.33 1.32 m of SLR by 2100 for 3.5°C global warming8.
Using this approach, between April and July 2009, we estimate that the median multiplier of reported to estimated cases was 79; that is, every reported case of pandemic (H1N1) 2009 may represent 79 total cases, with a 90% probability range of 47 148, for a median estimate of 3.0 million (range 1.8 5.7 million) symptomatic cases of pandemic (H1N1) 2009 in the United States.
In the present study, instead of using the conventional computational procedure, where all the prediction parameters are set to a fixed value, we have used a 99%% probability range.
Moreover, for all the other parameters, instead of considering a fixed cut-off value, we have used a 99%% probability range derived from the available data.
